#180 Varsity (9-11)

avg: 719.34  •  sd: 61.05  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
174 Alt Stacks Loss 7-10 352.18 Jul 13th Ow My Knee
242 Pandatime Win 11-8 777.63 Jul 13th Ow My Knee
131 Farm Show Loss 8-12 532.68 Aug 10th Nuccis Cup 2019
124 Funk Loss 7-9 745.24 Aug 10th Nuccis Cup 2019
115 Stoke Loss 5-13 460.12 Aug 10th Nuccis Cup 2019
131 Farm Show Win 12-7 1494.34 Aug 11th Nuccis Cup 2019
124 Funk Loss 12-15 724.09 Aug 11th Nuccis Cup 2019
197 HAOS Win 12-10 883.37 Aug 24th The Incident 2019 Age of Ultimatron
89 HVAC Loss 1-13 552.46 Aug 24th The Incident 2019 Age of Ultimatron
215 Espionage Win 9-8 703.33 Aug 24th The Incident 2019 Age of Ultimatron
142 Superstition Loss 7-13 340.27 Aug 24th The Incident 2019 Age of Ultimatron
265 I-79 Win 13-2 862.95 Aug 25th The Incident 2019 Age of Ultimatron
179 Unlimited Swipes Loss 7-9 444.66 Aug 25th The Incident 2019 Age of Ultimatron
209 TBD Win 8-7 726.61 Aug 25th The Incident 2019 Age of Ultimatron
44 Grand Army** Loss 4-15 861.45 Ignored Sep 7th Metro New York Mixed Club Sectional Championship 2019
174 Alt Stacks Loss 9-11 492.64 Sep 7th Metro New York Mixed Club Sectional Championship 2019
268 Skyscrapers Win 14-5 845.32 Sep 7th Metro New York Mixed Club Sectional Championship 2019
109 Birds Loss 11-14 765.13 Sep 8th Metro New York Mixed Club Sectional Championship 2019
293 Turnstyle** Win 15-4 414.57 Ignored Sep 8th Metro New York Mixed Club Sectional Championship 2019
209 TBD Win 15-9 1117.09 Sep 8th Metro New York Mixed Club Sectional Championship 2019
**Blowout Eligible

FAQ

The uncertainty of the mean is equal to the standard deviation of the set of game ratings, divided by the square root of the number of games. We treated a team’s ranking as a normally distributed random variable, with the USAU ranking as the mean and the uncertainty of the ranking as the standard deviation
  1. Calculate uncertainy for USAU ranking averge
  2. Model ranking as a normal distribution around USAU averge with standard deviation equal to uncertainty
  3. Simulate seasons by drawing a rank for each team from their distribution. Note the teams in the top 16 (club) or top 20 (college)
  4. Sum the fractions for each region for how often each of it's teams appeared in the top 16 (club) or top 20 (college)
  5. Subtract one from each fraction for "autobids"
  6. Award remainings bids to the regions with the highest remaining fraction, subtracting one from the fraction each time a bid is awarded
There is an article on Ulitworld written by Scott Dunham and I that gives a little more context (though it probably was the thing that linked you here)